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mlpcp-interp

Machine Learning for Prediction of Constitutive Parameters - Interpolation study

⚙️ Setup

Clone

Open terminal, change your current working directory to the location where you want the cloned directory and then clone this repository to your local machine

git clone https://github.com/dmitreiro/mlpcp-interp.git

Config

Inside your repository home folder, edit config/config.ini file to define your variables.

Environment

Next, install Anaconda for managing your Python environments. You can check documentation here.
After the installation, create an empty environment using Python 3.11.10

conda create --name <your_env_name> python=3.11.10
conda activate <your_env_name>

Then, navigate to your repository home folder and install dependencies

pip install -r requirements.txt

Run your code

Now, you are ready to rock 😎
From the home folder, just run

python main.py

or, if you want to run a specific script

python <folder>/<script>.py

⚖️ License

This project is licensed under the MIT License, which allows anyone to use, modify, and distribute this software for free, as long as the original copyright and license notice are included. See the LICENSE file for more details.

About

Study of interpolation applied to datasets on ML for predicting constitutive parameters.

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